"""
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""


from .tf_wrap import tf


def conv_net_example(features, classes):
    """
    Network definition.

    Args:
        features: Input features.
        classes: Number of classes.

    Returns:
        Output tensor.
    """
    conv1 = tf.layers.conv2d(features, 128, 3, activation=tf.nn.relu)
    conv2 = tf.layers.conv2d(conv1, 128, 3, activation=tf.nn.relu)
    fc1 = tf.layers.flatten(conv2)
    out = tf.layers.dense(fc1, classes)
    return out
